Triple
T18058330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mora |
E432099
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Mora Municipality |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Mora Municipality | Statement: [Mora, locatedIn, Mora Municipality]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mora Municipality Context triple: [Mora, locatedIn, Mora Municipality]
-
A.
Mora Municipality
Mora Municipality is a local administrative region in Portugal known for its rural landscapes, traditional Alentejo culture, and archaeological and natural heritage.
-
B.
Mora Municipality
chosen
Mora Municipality is a local government area in Dalarna County, central Sweden, known for its town of Mora and the annual Vasaloppet cross-country ski race.
-
C.
Orsa Municipality
Orsa Municipality is a local government area in Dalarna County, central Sweden, known for its forests, lakes, and outdoor recreation opportunities.
-
D.
Mellerud Municipality
Mellerud Municipality is a local government area in western Sweden known for its rural landscapes and location within the historical province of Dalsland.
-
E.
Sveio Municipality
Sveio Municipality is a coastal municipality in Western Norway known for its scenic landscapes, islands, and proximity to the North Sea.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8b906482481908183315b9ecf9994 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4c1048c00819097c7dfbf76bb0987 |
completed | April 19, 2026, 11:48 a.m. |
Created at: April 10, 2026, 10:26 a.m.